A proposal of writer verification of hand written objects

From a biometric view point, it is preferable to recognize the writer from not only signature but also hand written characters or pictures. In on-line signature verification, we have shown that the combination of pen position, pen pressure and pen inclination information realized a high verification rate (see Hangai, S. et al., IEEE ICME2000, 2000; Yamanaka, S. et al., IEEE ICME2001, 2001). So, we apply the method to the writer verification of arbitrary written characters and pictures. In the verification, the information of direction and inclination of each segmented stroke are mainly used as feature parameters. From experimental results using hand written numeric characters, figures, and pictures by 20 persons, we can realize a verification rate of 92.59%.